AI Agent Attack Signals Examples
Some of what Meridian watches for on AI voice agents and conversational systems. Keys only — no opaque weighting; additional detection runs in production.
| Key | Meaning |
|---|
AI voice agents · Same signal layer as live calls
Your voice agent is a front door. Meridian guards it.
Meridian monitors live conversations with AI voice agents, phone bots, and conversational interfaces — surfacing injection, hijacking, and extraction attempts with clear in-session alerts while the session is still active.
Your stack, guarded
Meridian listens on the live conversation — across OpenClaw-style agents, Hermes orchestration, OpenRouter model hops, xAI reasoning, and ElevenLabs-class voice — without living inside any one vendor.
Example attacks
Full key reference ↓- 01
Stable keys your security team can route, audit, and automate
- 02
Plain English labels while the agent session is still live
- 03
Human calls and AI agents on one Meridian signal layer
What Meridian flags on AI agents in real time.
Swipe through representative attack patterns — each with a stable key, plain-English meaning, and a sample caller line. Meridian detects more in production than we list here.
Why agents get targeted
Attackers treat agents like soft targets.
They probe system instructions, impersonate privileged roles, and slowly pull data across session boundaries. Meridian classifies these behaviors with stable signal keys your security team can route, audit, and automate against — while the session is still active.
001Session stays live
Meridian analyzes audio and conversation flow on the device where the agent runs — no batch review after the fact.
002Signals classify intent
Injection, hijacking, boundary violations, and jailbreak attempts map to named keys — not opaque scores alone.
003Teams act in the moment
Operators and security see plain English context before the agent shares too much or follows bad instructions.
Signal reference
AI agent keys and meanings.
Example AI agent attack signals on this page — not a complete list. For sample human call and meeting patterns, see the home catalog.
Lookup for security and engineering — representative examples from production, not every signal Meridian can surface on agents.
Where it applies
Voice agents across your stack.
Meridian covers human-targeted social engineering on the same platform — one signal layer for people and agents.
Customer support voice bots
Stop callers from rewriting agent behavior mid-ticket or extracting account data through social tactics.
Outbound AI dialers
Detect when a callee probes your agent’s instructions instead of engaging with the intended script.
Internal copilots on calls
Flag privilege-escalation language and boundary violations while employees stay on live audio.
Get started
See Meridian on a live agent session.
Book a demo with the Lurion team and watch detection run while a voice agent conversation is still happening.
Questions? FAQ · founders@lurion.org